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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- summarization |
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datasets: |
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- xsum |
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model-index: |
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- name: google/roberta2roberta_L-24_bbc |
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results: |
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- task: |
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type: summarization |
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name: Summarization |
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dataset: |
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name: xglue |
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type: xglue |
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config: mlqa |
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split: test.ar |
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metrics: |
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- type: rouge |
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value: 0.0213 |
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name: ROUGE-1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjRhNmFhMDhmNTllNWM3ZjFlMTNjZDcxNDU1ZmU5YmRhZjczNTQwMjQ4MDQzMDY5NGNhZDhkM2EzM2NiODg1MyIsInZlcnNpb24iOjF9.-BNXeOa4KVK5T7kX1oDGpFWE1fiPV0HSafnwbm5cnaxM8c1BnZmfLu8uvRPCgiurWjgSQihk4og4hkcfdvffBQ |
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- type: rouge |
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|
value: 0.0019 |
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name: ROUGE-2 |
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verified: true |
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|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTQ0OTBmNDc1NjkxMGM3ODJlMDY1YjJlYTQyNzFhZGYyNzA1NTIyYjkwYWUxNzk0MDc5NjU0NTc1ZDU3YTY0MyIsInZlcnNpb24iOjF9.x0cqOoYSUIMjJnWTF2p9rntIRYJQGbGhm_K_UbkDKiIX9eYmRr9jO7pXHx_35TZVDbkYjG39PZMTwxXxu_I-CQ |
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|
- type: rouge |
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|
value: 0.0201 |
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|
name: ROUGE-L |
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|
verified: true |
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|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjExOTEwZjA5ODQwNWRjMWQ0MGFmYzJiYjdlYmU4YjA0NGZlYTBmY2VkOTQ3YTFkOTUyZjdiOTg0N2E0YmQ3ZCIsInZlcnNpb24iOjF9.C1j9T_WQrGeHmJLDBDXMlLHxPjzb0kaAp7MdNuDno4tehA-WV8QMOEwQTaJc7QtRveeH1wrrsYgKxZ4P-6NEAA |
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|
- type: rouge |
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|
value: 0.0196 |
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|
name: ROUGE-LSUM |
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verified: true |
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|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGFiOTVjNTEzNDBlMGIxNTc2MTZhN2I2MjUzN2U1ZGM3ZDVkYjhmNTdjZjA2OGUxZjlkYjY3YjhjODAwMzYwZCIsInZlcnNpb24iOjF9.mUtFHxPvgbB9CPonENnm_lynnps3Z2q5ncKBf0ZkzVc1E28cNN37OE_aUhLTqvdcZ2hwUqS4zHJlndZv1PONAg |
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|
- type: loss |
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|
value: 6.101626396179199 |
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|
name: loss |
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|
verified: true |
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|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmI4M2UxZTE1ZmM4NzhkZjI4NDk1MzUwOGVjNjZlZThkMmVkOGM4YzU3MjRiOTZkMjFjZTU5YTJhNWJhNzJmNSIsInZlcnNpb24iOjF9.M8qQtenTtqRVTBHt23uY1XqRL3hGNJv4JgXeJlHV0xWnc8xp8b2b_ycvOh7FwZzcW2gPUVJmU8hpqozHTUkXDQ |
|
|
- type: gen_len |
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|
value: 42.5961 |
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|
name: gen_len |
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|
verified: true |
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|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODExYmMxZDQ3ZWM0Yzc5ZjgxZmI0ZjQ3MGNlMDEwNmNhZDVkMjZmYTU1MzBjZWQ4YWM0MjRhYjM3NDZlMTI0MCIsInZlcnNpb24iOjF9.U2blxgJeU7XDoP8sU4AInQmewyVhgnJ0qPQXGCx5d-cqSsx0WveMpgx93Yxedb_r7mbrVigOwIpZm03M_Y6oBg |
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--- |
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# Roberta2Roberta_L-24_bbc EncoderDecoder model |
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The model was introduced in |
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[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/roberta24_bbc/1). |
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The model is an encoder-decoder model that was initialized on the `roberta-large` checkpoints for both the encoder |
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and decoder and fine-tuned on extreme summarization on the BBC XSum dataset, which is linked above. |
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Disclaimer: The model card has been written by the Hugging Face team. |
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## How to use |
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You can use this model for extreme summarization, *e.g.* |
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```python |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_bbc") |
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model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_bbc") |
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article = """The problem is affecting people using the older |
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versions of the PlayStation 3, called the "Fat" |
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model.The problem isn't affecting the newer PS3 |
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Slim systems that have been on sale since |
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September last year.Sony have also said they are |
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aiming to have the problem fixed shortly but is |
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advising some users to avoid using their console |
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for the time being."We hope to resolve this |
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problem within the next 24 hours," a statement |
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reads. "In the meantime, if you have a model other |
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than the new slim PS3, we advise that you do not |
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use your PS3 system, as doing so may result in |
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errors in some functionality, such as recording |
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obtained trophies, and not being able to restore |
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certain data."We believe we have identified that |
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this problem is being caused by a bug in the clock |
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functionality incorporated in the system."The |
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PlayStation Network is used by millions of people |
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around the world.It allows users to play their |
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friends at games like Fifa over the internet and |
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also do things like download software or visit |
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online stores.""" |
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input_ids = tokenizer(article, return_tensors="pt").input_ids |
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output_ids = model.generate(input_ids)[0] |
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print(tokenizer.decode(output_ids, skip_special_tokens=True)) |
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# should output |
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# Some Sony PlayStation gamers are being advised to stay away from the network because of a problem with the PlayStation 3 network. |
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``` |
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